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How to Use the Weimob / 微盟 MCP in Google ADK

Connect Weimob / 微盟 e-commerce data using Google ADK for enterprise agents.

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Google ADK

Connect Weimob / 微盟 MCP to Google ADK

Create your Vinkius account to connect Weimob / 微盟 to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Retrieve Customer Profiles

The `get_customer` tool pulls specific customer details from your shop. This is useful when building complex workflows that need to identify a user quickly. You can also list groups of users using `list_customers`. These tools let your agent act on member data directly within the Google Cloud environment.

Manage Product Inventory

When you run an agent, it needs to know current stock. Use `get_inventory` to fetch SKU counts instantly. This is crucial for keeping sales accurate. You can also pull a complete product listing using `list_goods`, giving your agents the full context of the available catalog.

Analyze Order and Sales Data

Need to review past transactions? The `get_order` tool retrieves specific order data. This lets your agent validate fulfillment records. For high-level analysis, use `get_sales_stats`. You can also see multiple recent orders by calling `list_orders`, which is great for auditing.

Setup guide

Set up Weimob / 微盟 MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Weimob / 微盟 tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Weimob / 微盟_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Weimob / 微盟 tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Weimob / 微盟. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Weimob / 微盟 MCP in Google ADK

You initialize the toolset and pass it to your LlmAgent. Because you're running this in an enterprise setup, native integration with BigQuery makes sense.
Yes. The framework supports long-context reasoning using Gemini models that can hold over 1 million tokens of data from your shop's records.
You get access to `list_customers` to see general member lists, plus the ability to get deep details on individuals using `get_customer`.
Yes. You can use the optional `tool_names` filter parameter, which lets you restrict exactly which MCP Server functions your agent sees.
This server handles core e-commerce operational data: product details, customer accounts, inventory counts, and historical sales records.

Start using the Weimob / 微盟 MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Weimob / 微盟. Just plug in your AI agents and start using Vinkius.

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